AI-TPS: Artificial Intelligence Systems with Transparency, Privacy and Security
Project Description

Artificial Intelligence has now empowering many tasks in everyday life and becoming more common in enterprise and law enforcement applications. We believe AI can deliver great benefits for economies and societies, and support decision-making to be more transparent, safer, accountable and informed. But such a vision will not be realized without bringing together multidisciplinary technologies and experiences, including Deep learning model design, adversarial machine learning, data cleaning, data collection and governance, differential privacy, community engagement and cyber security. In this project, we will develop a theoretical framework for artificial intelligence systems with transparency, explainability, intrinsically respectful of data protection, privacy and security.

Supervisor
WANG Yu-Hsing
Quota
3
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

deep learning programming

Applicant's Learning Objectives

To develop a theoretical framework for artificial intelligence systems with transparency, explainability, intrinsically respectful of data protection, privacy and security.

Complexity of the project
Challenging